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MiniMax Music Cover transforms existing songs into completely different styles — new arrangement, new vocal character, same melody. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

text-to-audio
Input

Siap

$0.15per run·~66 / $10

ContohLihat semua

Upbeat City Pop 80s retro: funky bassline, bright synth chords, groovy drum machine, clean female vocal, romantic saxophone solo, 110 BPM

Model Terkait

README

MiniMax Music Cover

MiniMax Music Cover transforms any audio track into a new musical style. Upload a song and describe the target sound — genre, instruments, tempo, mood — and the model generates a reimagined cover version that captures your vision while preserving the core structure of the original.

Why Choose This?

  • Style transfer for music Reimagine any track in a completely different genre or era — turn a pop song into a jazz arrangement, or a ballad into an 80s synth-pop anthem.

  • Detailed style control Describe the exact sonic character you want — instruments, BPM, vocal style, production techniques, and mood — for precise results.

  • Works on any audio Upload songs, instrumentals, demos, or recordings in any style as the source material.

  • Prompt Enhancer Built-in tool to automatically improve your music style descriptions for richer output.

Parameters

ParameterRequiredDescription
promptYesText description of the target musical style, genre, instruments, tempo, and mood.
audioYesSource audio track to cover (URL, file upload, or microphone recording).

How to Use

  1. Write your prompt — describe the target genre, instruments, BPM, vocal style, and production feel. Use the Prompt Enhancer for richer results.
  2. Upload your audio — provide the source track via URL, file upload, or microphone recording.
  3. Submit — generate and download your reimagined cover.

Example Prompt

Upbeat City Pop 80s retro: funky bassline, bright synth chords, groovy drum machine, clean female vocal, romantic saxophone solo, 110 BPM

Pricing

Just $0.15 per cover.

Best Use Cases

  • Music production — Rapidly prototype new genre arrangements or production styles from existing demos.
  • Creative exploration — Discover how a track sounds in a completely different musical era or style.
  • Content creation — Generate unique background music covers for videos, podcasts, and social media.
  • Remix & reinterpretation — Create style-shifted versions of your own recordings for different audiences.
  • Inspiration & ideation — Use covers as creative jumping-off points for new compositions.

Pro Tips

  • Be specific in your prompt — include genre, BPM, key instruments, vocal style, and production cues like "clean mix" or "analog warmth."
  • The more distinct your target style is from the source audio, the more dramatic and interesting the transformation.
  • Use the Prompt Enhancer to expand a simple style reference into a detailed, production-ready description.
  • Try the same source audio with different prompts to explore multiple style directions quickly.

Notes

  • Both prompt and audio are required fields.
  • Ensure audio URLs are publicly accessible if using a link rather than a direct upload.
  • Please ensure your content complies with MiniMax's usage policies.

Related Models

Catatan:Situs web ini menggunakan model AI yang disediakan oleh pihak ketiga. Harga dokumentasi hanya sebagai referensi dan dapat kedaluwarsa. Tombol Generate menampilkan perkiraan; tagihan akhir tugas yang berlaku.

Music Cover API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/music-cover with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Music Cover below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/minimax/music-cover" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/minimax/music-cover";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/minimax/music-cover", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Music Cover API — Frequently asked questions

What is the Music Cover API?

Music Cover is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. MiniMax Music Cover transforms existing songs into completely different styles — new arrangement, new vocal character, same melody. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Music Cover API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-music-cover.

How much does Music Cover cost per run?

Music Cover starts at $0.15 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Music Cover accept?

Key inputs: `prompt`, `audio`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-music-cover.

How long does Music Cover take to generate?

Median end-to-end generation time on WaveSpeedAI is around 181 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Music Cover outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.